Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• Human synthetic lethal inference as potential anti-cancer target gene detection.

  PMID 20015360 · PMC2804737 · BMC systems biology · 2009 · 7 claims · 8 setups

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  Targeting the synthetic lethal partner of a gene mutated in cancer selectively damages tumor cells while sparing healthy cells, offering a rationale for anti-cancer drug design

  saccharomyces sapiens ihsln genes database phylogenetic gene

• Structure of protein interaction networks and their implications on drug design.

  PMID 19876376 · PMC2760708 · PLoS computational biology · 2009 · 8 claims · 6 setups

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  Budding yeast and human PINs are scale-rich and configured as highly optimized tolerance (HOT) networks similar to Internet router-level topology, rather than scale-free networks formed by preferential attachment.

  budding pin yeast protein-protein graph-theoretic gene

• iRefIndex: a consolidated protein interaction database with provenance.

  PMID 18823568 · PMC2573892 · BMC bioinformatics · 2008 · 6 claims · 3 setups

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  A reproducible key (ROG) for each protein interactor and a corresponding key (RIG) for each interaction record can be generated by anyone using only primary sequence, taxonomy identifier, and the SHA-1 algorithm (SEGUID).

  sequence nine interactor seguid parsing mapping

• Analysis of protein sequence and interaction data for candidate disease gene prediction.

  PMID 17020920 · PMC1636487 · Nucleic acids research · 2006 · 8 claims · 7 setups

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  Combining CPS and CMP using known disease genes as input achieves sensitivity 0.52 and specificity 0.97, reducing candidate lists 13-fold

  ophid biocarta kegg pfam-annotated common benchmarking multiple-interval

• Building disease-specific drug-protein connectivity maps from molecular interaction networks and PubMed abstracts.

  PMID 19649302 · PMC2709445 · PLoS computational biology · 2009 · 7 claims · 4 setups

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  A computational framework can build disease-specific drug-protein connectivity maps by integrating protein interaction networks and PubMed literature mining, without gene expression profiles from drug perturbation experiments

  seed ad-related retrieved combined protein-protein network-based pubmed

• Identification of candidate disease genes by integrating Gene Ontologies and protein-interaction networks: case study of primary immunodeficiencies.

  PMID 19073697 · PMC2632920 · Nucleic acids research · 2009 · 8 claims · 5 setups

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  Combining high protein-interaction network scores with significant PID-related GO terms identifies novel PID candidate genes

  immunome known protein-interaction gene comparative

• Ontological visualization of protein-protein interactions.

  PMID 15707487 · PMC550656 · BMC bioinformatics · 2005 · 8 claims · 8 setups

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  Aggregating independently made GO 'protein binding' (IPI) annotations reveals larger, previously undescribed mouse protein-protein interaction networks

  gene interacting interaction annotation yeast co-immunoprecipitation

• The HIV positive selection mutation database.

  PMID 17108357 · PMC1669717 · Nucleic acids research · 2007 · 8 claims · 5 setups

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  The database provides codon-level Ka/Ks selection pressure maps for HIV protease and the first 381 codons of RT, built from a novel ~50,000-sample clinical dataset.

  hiv-1 stanford codon-specific selection conditional

• Predicting candidate genes for human deafness disorders: a bioinformatics approach.

  PMID 16854223 · PMC1564145 · BMC genomics · 2006 · 8 claims · 4 setups

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  A bioinformatic approach combining expression databases and protein interaction data narrows ~2400 candidate genes across deafness loci to a manageable set of candidates.

  genomic developing proteins positional expression protein-protein

• Representing and querying disease networks using graph databases.

  PMID 27462371 · PMC4960687 · BioData mining · 2016 · 7 claims · 8 setups

  Has reproduction · 77

  Graph databases are well suited for representing biological information that is highly connected, semi-structured, and unpredictable.

  uniprot proteome asthma tissues all-versus-all graph protein-protein

• Comparative Toxicogenomics Database: a knowledgebase and discovery tool for chemical-gene-disease networks.

  PMID 18782832 · PMC2686584 · Nucleic acids research · 2009 · 8 claims · 5 setups

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  CTD is a manually curated knowledgebase that integrates chemical-gene interactions, chemical-disease relationships, and gene-disease relationships into a chemical-gene-disease triad

  pubmed ctd manual computational case-study

• MODBASE: a database of annotated comparative protein structure models and associated resources.

  PMID 16381869 · PMC1347422 · Nucleic acids research · 2006 · 8 claims · 7 setups

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  MODBASE is a database of automatically calculated comparative protein structure models covering all UniProt sequences matchable to a known structure

  uniprot non-redundant complexes saccharomyces comparative pairwise domain-domain

• Haplotype analysis of common variants in the BRCA1 gene and risk of sporadic breast cancer.

  PMID 15743496 · PMC1064127 · Breast cancer research : BCR · 2005 · 7 claims · 5 setups

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  A common BRCA1 haplotype (haplotype 2, C A G G) is associated with a modest increase in sporadic breast cancer risk

  individuals nested same nurses whole-gene snp statistical

• DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene lists.

  PMID 17576678 · PMC1933169 · Nucleic acids research · 2007 · 8 claims · 4 setups

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  The DAVID Gene Concept uses a single-linkage method to agglomerate tens of millions of gene/protein identifiers from NCBI, PIR, UniProt and other resources into unified DAVID genes.

  gene example gene single-linkage functional

• BiRNA-BERT allows efficient RNA language modeling with adaptive tokenization.

  PMID 41266599 · PMC12635123 · Communications biology · 2025 · 8 claims · 8 setups

  Has reproduction · 50

  BiRNA-BERT uses adaptive dual-tokenization that dynamically selects nucleotide-level (NUC) or byte-pair encoding (BPE) tokens based on input sequence length

  rfam plant lncrna-mirna sequences unsupervised mirna-lncrna length-binned

• Gene-disease relationship discovery based on model-driven data integration and database view definition.

  PMID 19042916 · PMC2639000 · Bioinformatics (Oxford, England) · 2009 · 8 claims · 4 setups

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  Explicit gene–disease relationships can be formulated as candidate gene definitions (e.g., co-localization, dysregulation, functional similarity) that may include intermediary orthologous or interacting genes

  acgr disease term-based database case

• TRED: a transcriptional regulatory element database, new entries and other development.

  PMID 17202159 · PMC1899102 · Nucleic acids research · 2007 · 8 claims · 3 setups

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  TRED collects mammalian cis- and trans-regulatory elements together with experimental evidence, mapped onto assembled genomes

  cancer-related computational literature database

• Interactome-transcriptome analysis reveals the high centrality of genes differentially expressed in lung cancer tissues.

  PMID 16188928 · PMC4631381 · Bioinformatics (Oxford, England) · 2005 · 7 claims · 4 setups

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  Genes upregulated in squamous cell lung cancer are highly connected (well-connected) nodes in the protein interactome

  squamous ophid degs oligonucleotide interaction connectivity

• pSTIING: a 'systems' approach towards integrating signalling pathways, interaction and transcriptional regulatory networks in inflammation and cancer.

  PMID 16381926 · PMC1347407 · Nucleic acids research · 2006 · 8 claims · 3 setups

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  pSTIING is a publicly accessible web-based knowledgebase integrating protein-protein, protein-lipid, protein-small molecule interactions, transcriptional regulatory associations, ligand-receptor-cell type information, and signal transduction modules, with a focus on inflammation, cell migration and cancer.

  model gene molecular sequence clustering literature

• Detecting tipping points of complex diseases by network information entropy.

  PMID 38960408 · PMC11221888 · Briefings in bioinformatics · 2024 · 8 claims · 4 setups

  Has reproduction · 78

  NIEE can detect critical states or tipping points in diverse data types, including bulk and single-sample expression data

  real stringdb individual genes network background sample-specific